Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/54097, first published .
Machine Learning Model for Anesthetic Risk Stratification for Gynecologic and Obstetric Patients: Cross-Sectional Study Outlining a Novel Approach for Early Detection

Machine Learning Model for Anesthetic Risk Stratification for Gynecologic and Obstetric Patients: Cross-Sectional Study Outlining a Novel Approach for Early Detection

Machine Learning Model for Anesthetic Risk Stratification for Gynecologic and Obstetric Patients: Cross-Sectional Study Outlining a Novel Approach for Early Detection

Feng-Fang Tsai   1 * , MD, PhD ;   Yung-Chun Chang   2, 3, 4 * , MS, PhD ;   Yu-Wen Chiu   2 , MS ;   Bor-Ching Sheu   5, 6 , MD, PhD ;   Min-Huei Hsu   2, 4 * , MD, PhD ;   Huei-Ming Yeh   1 * , MD, MPH

1 Department of Anesthesiology, National Taiwan University Hospital, Taipei, Taiwan

2 Graduate Institute of Data Science, Taipei Medical University, Taipei, Taiwan

3 Clinical Big Data Research Center, Taipei Medical University Hospital, Taipei, Taiwan

4 Clinical Data Center, Office of Data Science, Taipei Medical University, Taipei, Taiwan

5 Medical Research Department, College of Medicine, National Taiwan University, Taipei, Taiwan

6 Department of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei, Taiwan

*these authors contributed equally

Corresponding Author:

  • Huei-Ming Yeh, MD, MPH
  • Department of Anesthesiology
  • National Taiwan University Hospital
  • No 7, Chung Shan South Road (Zhongshan South Road)
  • Zhongzheng District
  • Taipei, 100225
  • Taiwan
  • Phone: 886 223123456 ext 2662158
  • Fax: 886 23415736
  • Email: y.y.hhmm@hotmail.com